Simulation study on short-term load forecasting of electric power parameter optimization based on phase-space reconstruction theory
Huanyu Cai1, Juhui Cao2, Zhiqiang He2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 69-75
1School of Logistic Engineering University, Chongqing, 401311, China
2Jiuquan Satellite Launch Center, Lanzhou 732750, China
With the combination of theoretical achievements related to parameters study on phase-space reconstruction and short-term load forecasting of electric system in physics. The short-term load forecasting of electric power parameter optimization based on phase-space reconstruction theory is put forward, and through theoretical and simulation researches and qualitative analysis, the impact of each parameter on the precision of the power load forecast is obtained and forecasting steps of this method are summarized in this paper. According to the optimized parameters, the prediction is conducted to load, and as a result, the accuracy is improved greatly when compare forecasting results to immediate prediction. A load example is forecasted by using parametric optimization prediction method, and the result shows that parametric optimization prediction method improves the accuracy of load prediction to some extent.